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FAO component of the Poverty and Food Insecurity Mapping Project Lead FAO Unit: SDRN Project Funding: Government of Norway and FIVIMS THE FIVIMS GLOBAL.

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Presentation on theme: "FAO component of the Poverty and Food Insecurity Mapping Project Lead FAO Unit: SDRN Project Funding: Government of Norway and FIVIMS THE FIVIMS GLOBAL."— Presentation transcript:

1 FAO component of the Poverty and Food Insecurity Mapping Project Lead FAO Unit: SDRN Project Funding: Government of Norway and FIVIMS THE FIVIMS GLOBAL GIS DATABASE (FGGD) Other main partners: IIASA, CIESIN

2 The Poverty and Food Insecurity Mapping Project has three components implemented by 9 partners:  COMPONENT 1: Country Case Studies (Task Managers: 7 CGIAR Centers: CIAT, CIMMYT, IFPRI, IITA,ILRI, IRRI, IWMI)  COMPONENT 3: Outreach and Dissemination of the Results (Task Manager: UNEP-GRID-Arendal) www.povetymap.net  COMPONENT 2: Global Analyses and Databases (Task Manager: FAO/SDRN)

3 The seven country case studies done by the seven CGIAR Centers: 1.CIAT: Ecuador 2.CIMMYT: Mexico 3.IFPRI: Malawi 4.IITA: Nigeria 5.ILRI: Kenya 6.IRRI: Bangladesh 7.IWMI: Sri Lanka

4 DEVELOPMENT OF THE FIVIMS GLOBAL GIS DATABASE (FGGD) The FGGD is a GIS database and modeling framework for better understanding of the global poverty and food insecurity issues in SPATIAL and ENVIRONMENTAL contexts related to agricultural productivity and accessibility. The main objective of the FAO component:

5 The main expected use of the FGGD: to be used as the main Global GIS database needed for implementation of the plans of actions of the three summits. MILLENIUM WORLD FOOD SUMMIT +5 JOHANNESBURG SUMMIT SUMMIT

6 IT IS ESTIMATED THAT THERE ARE OVER 800 MILLION UNDERNOURISHED AND APPROXIMATELY 2 BILLION POOR PEOPLE THESE FIGURES ARE BASED ON NATIONAL STATISTICS BUT, IN ORDER TO UNDERSTAND THE DRIVERS OF HUNGER AND POVERTY WE ALSO NEED TO KNOW WHERE THEY LIVE

7 u Agroecological zones u Marginal and productive lands u Major crops and livestock production systems u Market access u Livelihood systems IN PARTICULAR,...WE NEED TO KNOW WHERE THEY ARE IN RELATION TO:

8 Poverty mapping: Two approaches u Bottom-up approach: Using socio-economic data aggregated by administrative boundaries such as survey/census data u Top-down approach: Using satellite imagery, existing global environmental maps and GIS models.

9 LEVEL 3: LEVEL 3: Maps Based on Models: Potential crop zones for 28 major crops Agro-ecological Zones, Length of Growing Period Pixel shares of 4 land-use classes: Croplands, Pasture, Forest and Other Lands Environmental Constraints, Multiple cropping zones LEVEL 2: LEVEL 2: Primary data layers: Soil and terrain properties, Farming system zones, Precipitation, Temperature, Protected Areas, Irrigated Areas, LEVEL 1: Base Maps: Coastlines, DEM, National and Subnational Boundaries, LEVEL 4: Maps for analysis of vulnerability: Accessibility Pixel Ag. Economic Value Actual crop zones for 28 crops Livestock production Rural Population density Population Density in 2015; Subnational Nutrition Profiles, The hierarchy of the maps in FGGD GRID resolution: 5 arc-minutes Vector data scale: 1: 5 million

10 SPATIAL and ENVIRONMENTAL analysis at pixel level:

11 BARBADOS Pixelization at 5x5 arc-minutes Pixelization at 30x30 arc-seconds Comparison of the two pixel sizes GIS technology constraints: Low accuracy at low resolution

12 FAO/UNESCO Soil map of the World Landscan population density map UN standard coastlines/country boundaries GIS technology constraints: maps from different sources may not match

13 Length of growing period (LGP) zones

14 Multiple cropping zones – rainfed conditions

15 1banana (1 type) 2barley (winter and spring barley combined - 16 types) 3cassava (1 type) 4citrus (1 type) 5cocoa (1 type) 6coffee (robusta and arabica coffee combined – 2 types) 7cotton (7 types) 8groundnut (3 types) 9maize (grain and silage maize combined - 19 types) 10millet (pearl millet and foxtail millet combined - 9 types) 11oil palm (1 type) 12olive (1 type) 13pulses (phaseolus bean, chickpea and cowpea combined - 17 types) 14rape (8 types) POTENTIAL SUITABILITY INDEX MAPS COMPLETED FOR 28 CROPS WHICH ACCOUNT FOR ABOUT 70% OF GLOBAL CROP PRODUCTION

16 15rice (indica and japonica wetland rice combined - 8 types) 16rye (winter and spring rye combined - 8 types) 17sorghum (7 types) 18soybean (6 types) 19sweet potato (3 types) 20sugar beet (5 types) 21sugarcane (1 type) 22sunflower (6 types) 23tea (1 type) 24tobacco (4 types) 25vegetables (cabbage, onion and tomato combined – 10 types) 26wheat (winter and spring wheat combined - 16 types) 27white potato (4 types) 28 yams (white yam, greater yam, yellow yam and cocoyam (taro) combined - 6 types) Crops list continued…

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19 Accessibility: Distance to Roads

20 India: population density in areas > 5 km from roads

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22 FUTURE WORK: What can we learn by analysing accessibility maps at global scale? u e.g. in India, there are approximately 147 million people (15%) living more than 5 km away from roads.

23 Accessibility: Distance to Markets

24 Distance to the coast

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27 FUTURE WORK: What can we learn by analysing environmental maps at global scale? u e.g. one preliminary figure: about 620 million people live in agro-ecological zones, where moisture and temperature allow crop growth for less than 120 days. u incomes of these people have to come mainly from sources other than rain-fed cropping (e.g. irrigated cropping, livestock, etc.) u …and we would like to know what will the number of these people also in 2015.

28 ARIDITY INDEX

29 Aridity Index (P/PET) Croplands Sq. Km. 1 = Hyper-arid (<0.05) 55,737 2 = Arid (0.05-0.20) 685,144 3 = Semi-arid (0.21-0.50) 4,454,108 4 = Dry sub-humid (0.51-0.65) 2,268,655 5 = Humid (>0.65) 8,608,590 6 = Cold (Boreal and Polar Temperatures) 30,815 TOTAL 16,103,049 AREA OF CROPLANDS BY ARIDITY INDEX

30 DRAFT Future work:

31 Future work (cont’d): u Do an intervention analysis in vulnerable areas, e.g. comparing various irrigation projects for the percent arid lands and the number of people to be affected u Do a meta analysis of the seven country case studies completed by the CG Centers and 15-20 country level poverty maps done by the WB u Explore how top-down and bottom-up approaches could be combined to complement each other

32 Important questions to be answered to assist Science Council’s priority setting role are the following: 1.Are most of the poor in a country/region rural or urban? 2.Are most of the rural poor in Favorable Rural Areas (FRA) or in Marginal Rural Areas (MRA)? 3.What are the commodities and farming systems for FRAs in a country? What are the poor’s farming systems in these FRA? 4.What are the commodities and farming systems for MRAs in a country? What are the poor’s farming systems in these MRA?

33 Thank you. ergin.ataman@fao.org www.povertymap.net www.fao.org

34 Combined suitability of Land for rainfed crops and pastures

35 Nigth lights

36 CROPLANDS (PERCENT SHARE PER PIXEL)

37 2 billion people living in extreme poverty ( less than PPP$1/day) at the time of the WFSfyl (2002)


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